INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/13/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
SeedSmith: LLM-Driven Seed Synthesis for Directed Fuzzing arXiv:2607.08949v1 Announce Type: new Abstract: Directed fuzzing steers fuzzers toward user-defined sink functions to identify vulnerabilities, but it frequently fails to trigger crashes even after long campaigns. We identify two challenges that prevent directed fuzzers from exposing crashes: incomplete static analysis of indirect calls, which leaves reachable paths invisible to distance-based guidance, and lack of se…
https://arxiv.org/abs/2607.08949
sha256:9d5deefe1d7de605402d5566c9cee3d7031c5d3eba4fa05f73d8602b9abebd6b
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Indicators
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Malware families
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Threat actors mentioned
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ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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